<p>
Now that we have loaded the iris dataset into H2O, we can build a Random Forest
model.  For this purpose, please use the menu option <span class='label
mref'>Model &gt; Distributed RF (Beta)</span> or direct <a
href="/2/DRF.query?source=iris.hex&destination_key=model&response=4&ntrees=20&ignore=&nbins=50"
target="_blank">link</a>.
<p>
</p>
The Random Forest method has multiple tuning parameters that can affect the
model it will build.  For example, you can increase the number of trees, the maximum tree
depth or the number of bins.
</p>
